方法证据记录
Fine-Tuned Recurrent Neural Network
A Fine-Tuned Recurrent Neural Network (RNN) starts from a model pre-trained on large corpora or time-series data and adapts its weights to a specific downstream task through controlled gradient updates. The approach dramatically cuts the labeled data needed for strong sequence modeling performance in text classification, named entity recognition, sentiment analysis, and related tasks.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Fine-Tuned Recurrent Neural Network (Transfer Learning for Sequence Models)
分类方法记录 · ml-model / deep-learning
- Howard, J. & Ruder, S. (2018). Universal Language Model Fine-Tuning for Text Classification. Proceedings of ACL 2018, 328–339. · DOI 10.18653/v1/P18-1031
- Recurrent neural network. Wikipedia. · URL
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